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Award Detail

Awardee:NORTHEASTERN UNIVERSITY
Doing Business As Name:Northeastern University
PD/PI:
  • James C Benneyan
  • (617) 373-2975
  • benneyan@coe.neu.edu
Award Date:05/07/2010
Estimated Total Award Amount: $ 290,000
Funds Obligated to Date: $ 251,570
  • FY 2010=$135,570
  • FY 2012=$58,000
  • FY 2014=$58,000
Start Date:05/15/2010
End Date:04/30/2017
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Center for Healthcare Organization Transformation
Federal Award ID Number:1034990
DUNS ID:001423631
Parent DUNS ID:001423631
Program:IUCRC-Indust-Univ Coop Res Ctr
Program Officer:
  • Prakash Balan
  • (703) 292-5341
  • pbalan@nsf.gov

Awardee Location

Street:360 HUNTINGTON AVE
City:BOSTON
State:MA
ZIP:02115-5005
County:Boston
Country:US
Awardee Cong. District:07

Primary Place of Performance

Organization Name:Northeastern University
Street:360 HUNTINGTON AVE
City:BOSTON
State:MA
ZIP:02115-5005
County:Boston
Country:US
Cong. District:07

Abstract at Time of Award

Full Center Proposal (Phase I) for an I/UCRC for Healthcare Organization Transformation (CHOT) 1034990 Northeastern University; James Benneyan Northeastern University (NEU) seeks to join the existing I/UCRC "Healthcare Organization Transformation (CHOT)" consisting of Texas A&M (TAMU) and Georgia Tech. TAMU is the lead institution of the proposed Center, and proposes to add an additional site (Penn State) in the next review cycle. Northeastern University (NEU) seeks to join the existing Center for Health Organization and Transformation (CHOT) as a third site. CHOT was established in 2008 to "conduct mixed methodology, applied research on the antecedents, execution, and effects of transformational interventions and strategies that combine evidence-based management, clinical and information technology innovations, and on-going organizational learning and cultural change" in healthcare systems. NEU will conduct applied research on solutions to problems of common interest to its member hospitals. The proposed site will work in the industry-academia interface to accelerate the application of systems engineering and related methods to profoundly impact the improvement of healthcare systems. NEU's long-term research thrusts focus on 6 core areas: safety and process quality, logistics, flow and access, efficiency and costs, system-wide optimization, and outcomes/effectiveness optimization. The proposed site aims to develop both graduate and undergraduate industrial engineering (IE) students experienced in identifying and executing useful applications of industrial engineering and operations to measurably improve healthcare systems. The NEU site has made significant progress to address diversity on its research team by working with its Minority Engineering program. The PI is also working with NEU's admissions office to identify potential participants in the "Yellow Ribbon" program (a modern version of the GI Bill) who could be appropriate for involvement in NEU's proposed work. NEU plans to disseminate knowledge through annual symposia, newsletters, website postings and journal publications.

Publications Produced as a Result of this Research

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[3] Ceyhan ME, Benneyan JC "Handling Estimated Proportions in Public Sector Data Envelopment Analysis" Annals of Operations Research, v., 2014, p.107.

Ceyhan ME, Benneyan JC "Handling Estimated Proportions in Public Sector Data Envelopment Analysis" Annals of Operations Research, v., 2012, p.1.

Chen B, Matis T, Benneyan J "Computing Exact Bundle Compliance Control Charts via Probability Generating Functions" Health Care Management Science, v., 2014, p.1.

Benneyan JC, Musdal H, Ceyhan ME, Sinangil S, Shiner B, Watts BV "Specialty Care Single & Multi-Period Service Location-Allocation Models within the Veterans Health Administration" Socio-Economic Planning Sciences, v.46, 2012, p.136.

Bettinger B, Benneyan JC. "The Volunteer's Dilemma and Alternate Solutions for Ensuring Responsibility Within Accountable Care Organizations" The Engineering Economist, v., 2016, p.. doi:http://dx.doi.org/10.1080/0013791X.2016.1199075 

Watts, BV, Shiner B, Ceyhan, ME, Musdal, H, Sinangil S, Benneyan JC "Health systems engineering as an improvement strategy: A case example using location-allocation modeling" Journal for Health Care Quality, v., 2012, p.1945.

Sheldrick R, Benneyan J, Kiss I, Briggs-Gowan M, Copeland W, Carter A "Thresholds and accuracy in screening tools for early detection of psychopathology" Journal of Child Psychiatry and Psychology, v.56, 2015, p.936.

Benneyan JC, Bond C "Systems Engineering Approaches for Managing and Improving Reusable Medical Equipment Processes" International Journal of Innovation and Technology Management, v.10, 2013, p.. doi:10.1142/S0219877013400099 

Mutlu S, Benneyan J, Terrell J, Jordan V, Turkcan A "A Co-availability Scheduling Model for Coordinating Multi-Disciplinary Care Teams" International Journal of Production Research, v., 2015, p.. doi:10.1080/00207543.2015.1018452 

Peck, Jordan S., Stephan A. Gaehde, Deborah J. Nightingale, David Y. Gelman, David S. Huckins, Mark F. Lemons, Eric W. Dickson, and James C. Benneyan. "Generalizability of a simple approach for predicting hospital admission from an emergency department" Academic Emergency Medicine, v.20, 2013, p.1156.

Chen B, Matis T, Benneyan J "Computing exact bundle compliance control charts via probability generating functions" Health Care Management Science, v.19, 2016, p.103. doi:10.1007/s10729-014-9290-2 

Katsulis Z, Ergai A, Leung WY, Schenkel L, Rai A, Adelman J, Benneyan J, Bates D, Dykes P "Iterative Patient-Centered Design for Use of a Tailored Fall Prevention Plan" Applied Ergonomics, v.56, 2016, p.117.

Benneyan JC, Taseli A "Exact and Approximate Probability Distributions of Evidence-Based Bundle Composite Compliance Measures" Health Care Management Science, v.13, 2010, p.193.

Watts, Bradley V., Brian Shiner, Jeffrey A. Cully, Stuart C. Gilman, James C. Benneyan, and William Eisenhauer. ""Health Systems Engineering Fellowship Curriculum and Program Development."" American Journal of Medical Quality, v., 2014, p.. doi:1062860614523033 

Sara Nourazari S, Hoch DB, Capawanna S, Sipahi R, Benneyan JC "Can improved specialty access moderate emergency department overuse? Impact of neurology appointment delays on unnecessary ED visits" Neurology Clinical Practice, v., 2016, p.. doi:http:/?/?dx.?doi.?org/?10.?1212/?CPJ.?0000000000000295 

Peck JS, Benneyan JC, Nightingale DJ, Gaehde SA "Characterizing the Value of Predictive Analytics in Facilitating Hospital Patient Flow" IIE Transactions on Health Care, v.4, 2014, p.135.

Topcu, Aysegul, James C. Benneyan, and Thomas P. Cullinane. ""A simulation-optimisation approach for reconfigurable inventory space planning in remanufacturing facilities."" International Journal of Business Performance and Supply Chain Modelling, v.5, 2013, p.86.

Watts, Bradley V., Brian Shiner, Mehmet E. Ceyhan, Hande Musdal, Seda Sinangil, and James Benneyan. ""Health Systems Engineering as an Improvement Strategy: A Case Example Using Location?Allocation Modeling."" Journal for Healthcare Quality, v.35, 2013, p.35.

Peck JS, Benneyan JC, Nightingale DJ, Gelman DY, Huckins DS, Lemons ML, Dickson EW, Gaehde SA "Generalizability of a simple approach for predicting hospital admission from an emergency department" Academic Emergency Medicine, v.20, 2013, p.1156.

Chen B, Matis T, Benneyan J "Improved One-sided Control Charts for the Mean of a Positively-Skewed Population Using Truncated Saddlepoint Approximations" Quality and Reliability Engineering International, v.27, 2011, p.1043.

Quality and Reliability Engineering International "Improved One-sided Control Charts for the Mean of a Positively-Skewed Population Using Truncated Saddlepoint Approximations" Quality and Reliability Engineering International, v.27(8), 2011, p.1043-1058.

Chen, Binchao, Timothy Matis, and James Benneyan. ""Computing exact bundle compliance control charts via probability generating functions."" Health care management science, v., 2014, p.1-8.

Musdal, Hande, Brian Shiner, TeChieh Chen, Mehmet E. Ceyhan, Bradley V. Watts, and James Benneyan. ". "In-Person and Video-Based Post-Traumatic Stress Disorder Treatment for Veterans: A Location-Allocation Model."" Journal of Military Medicine, v.179, 2014, p.150.

Wan H, Zhang L, Witz S, Musselman K, Fang Y, Mullen C, Benneyan J, Zayas-Castro J, Rico F, Martinez D "A literature review of preventable hospital readmissions: Preceding the Readmissions Reduction Act" IIE Transactions on Healthcare Systems Engineering, v., 2016, p.193. doi:http://dx.doi.org/10.1080/19488300.2016.1226210 

Peck JS, Benneyan JC, Nightingale DJ, Gaehde SA "Predicting Emergency Department Inpatient Admissions to Improve Same-Day Patient Flow" Academic Emergency Medicine, v.19, 2012, p.1045.

Peck JS, Benneyan JC, Nightingale DJ, Gaehde SA "Predicting Emergency Department Inpatient Admissions to Improve Same-Day Patient Flow" Academic Emergency Medicine, v.19, 2012, p.1045.

Benneyan, James C., and Claire Bond. ""Systems Engineering Approaches For Improving Reusable Medical Equipment Reprocessing Processes."" International Journal of Innovation and Technology Management, v.10, 2013, p..


Project Outcomes Report

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Northeastern University participated in the National Science Foundation Center for Healthcare Organization Transformation (CHOT) for 6 years from 2011 to 2017. As an Industry/University Cooperative Research Center, we partnered closely with industry representatives from the healthcare community, including both local and national health systems and federal research organizations, to research and develop solutions for healthcare’s most challenging problems. During our 6-year involvement with CHOT, we engaged in 25 research projects; trained 12 postdoctoral researchers, 14 PhD students, 14 master students, and 25 undergraduate students; and published or presented over 100 papers, posters, and lectures as a result of our projects.

CHOT as a whole, and Northeastern in particular, has had significant impact on advancing the field of healthcare systems engineering and on improving the triple aim of better health, better care processes, and lower cost, both from a methods perspective and impact perspective. Specifically, we have developed, applied, and published new methods in statistical quality control, predictive modeling, adaptive control, understanding error causality, advancing patient safety, robust design, behavioral economics, financial game-theory incentive design, and complex team scheduling and staffing optimization. In terms of advancing science and methods, we:

  • Developed a new high-fidelity statistical method for hospitals to robustly predict short- and long-term demand across all clinical service units of their systems. These methods help improve patient flow, improve patient safety, and reduce costs.
  • Established adaptive engineering control methods that dynamically adjust staff levels based on current or forecasted access delays with the goal of improving appointment access in outpatient settings. These methods are in direct and immediate response to a National Academy of Medicine report on delayed care urging research to develop systems engineering methods that optimally adapt capacity to meet demand.
  • Developed robust optimization approaches to staff scheduling in complex operating room settings considering uncertainty in surgery durations, staff availability, and emergency arrivals. These methods are fundamentally important to optimize highly unpredictable healthcare processes.
  • Conducted research on new patient safety methods to help address complex problems that existing approaches in healthcare have failed to address. This research is now being supported by two center grants from the Agency for Healthcare Research and Quality (Benneyan Co-PI).

In terms of applied work and cost savings, we estimate our work has resulted in $6.3 million in annual healthcare savings based on project projections. As a few examples of some applications of our work, we have:

  • Designed a better system of emergency department observation units, saving an estimated $220,000 annually and decreasing inpatient admissions by 10% in a 10-bed hospital-based emergency department;
  • Improved access to healthcare services by optimizing locations of healthcare facilities across geographic regions with projections of $732,000 in cost savings; and
  • Reduced unnecessary electrocardiogram pre-operative testing from 50% to 4% and reduced unnecessary blood testing from 90% to 47%, yielding an estimated annual cost savings of $450,000.

Healthcare is the largest industry in the United States, costing nearly $3 trillion annually (18% of our GDP) and riddled by a wide range of system problems that could be effectively addressed through engineering solutions. Several publications estimate that as much as 30% of healthcare costs are due to inefficient and poorly designed processes, prompting several national organizations to call for novel research by and involvement of industrial and systems engineers in healthcare. Through our participation in CHOT, Northeastern University has demonstrated that systems engineering methods may be used effectively to model, analyze, predict, improve, and optimize the performance of complex systems. We also illustrated the value of systems approaches to understanding and improving patient safety and access to care. 


Last Modified: 08/02/2017
Modified by: James C Benneyan

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